Distributed Partially Observable Markov Decision Problems (DisPOMDPs) are emerging as a popular approach for modeling sequential decision making in teams operating under uncertain...
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
: We study mobile P2P content dissemination schemes which leverage the local dedicated caches provided by hand-held devices (e.g., smart-phones, PDAs) and opportunistic contacts be...
Linearizability is the strongest known consistency property of shared objects. In asynchronous message passing systems, Linearizability can be achieved with 3S and a majority of c...
Marco Serafini, Dan Dobre, Matthias Majuntke, P&ea...
We study three scheduling problems (file redistribution, independent tasks scheduling and broadcasting) on large scale heterogeneous platforms under the Bounded Multi-port Model. I...